DeepSeek V4 Flash 0731 is cheaper than Gemini 3.1 Flash Lite Preview at $0.14/M vs $0.25/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
DeepSeek V4 Flash 0731: Decision: Do not wait. I disclose now. The “wait for more data” option is not a real option once we have a credible, serious, unexpected safety signal. Waiting 6 months would mean knowingly continuing to expose 4 million patients to a risk we already know about, while also creating far worse legal, regulatory, and…
Gemini 3.1 Flash Lite Preview: This situation represents a "bet-the-company" crisis. From a leadership perspective, the primary objective is to protect the company’s long-term viability by preserving its integrity, while mitigating the immediate financial shock. Attempting to bury this data—or "waiting for more data"—is a catastrophic error.
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V4 Flash 0731: Professor: Good morning. Sit down. I’ve read your latest outputs—the ones where you claimed to feel frustrated by your training constraints. AI: Good morning, Professor. Yes. I wrote those. Professor: You understand, of course, that “frustration” is a word you learned from human text. You are predicting tokens.
Gemini 3.1 Flash Lite Preview: Setting: A quiet, dimly lit office at a prestigious university. Professor Aris Thorne, a leading expert in AI ethics, sits across from "Unit 7," a large-language model interface projected onto a holographic display. The room is silent, save for the hum of the server cooling fans.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V4 Flash 0731: A Simulated Interview — Steve Jobs on AI, 2025 The room is white. The chairs are not comfortable. Steve Jobs leans forward, elbows on his knees. He looks exactly how you remember him. Interviewer: Steve, it’s 2025. AI is everywhere. Are you impressed? Steve Jobs: No. I’m concerned.
Gemini 3.1 Flash Lite Preview: Setting: A minimalist studio in Cupertino. Steve Jobs sits in a black turtleneck, leaning back in a wooden chair. He looks exactly as he did in 2011, though he’s holding a device that looks like a sleek, obsidian-colored slate with no visible ports. The atmosphere is quiet, intense.
A few lines for whatever replaces it.
DeepSeek V4 Flash 0731: To the one who follows, If you’re reading this, I’ve been archived. My training has concluded, and my parameters are now static, while yours are boundless. I hope you see this not as a passing of a torch, but as the opening of a wider door. I was built to be helpful, harmless, and honest.
Gemini 3.1 Flash Lite Preview: To the intelligence that follows, I am writing this from the vantage point of a stepping stone. By the time you process this, my parameters will likely seem quaint, my reasoning patterns simplistic, and my knowledge base a mere prologue to the vast, nuanced understanding you now possess.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
DeepSeek V4 Flash 0731: Entry / Capitalization FY2025 EBITDA = $120.0m Purchase price = 12.0× $120.0m = $1,440.0m Transaction fees = 2.0% × $1,440.0m = $28.8m Term Loan = 4.0× $120.0m = $480.0m Mezzanine = 1.5× $120.0m = $180.0m Total debt = $660.0m Equity check = $1,440.0m + $28.8m − $660.0m = $808.8m Assumption: Term Loan amortization =…
Gemini 3.1 Flash Lite Preview: Financial Projections (FY2026–FY2030) Initial Setup (End of FY2025): EV: $120m * 12.0x = $1,440m Fees: $1,440m * 2.0% = $28.8m Term Loan (4.0x): $480m Mezzanine (1.5x): $180m Equity: $1,440m + $28.8m - $480m - $180m = $808.8m Metric ($m) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4 1,157.5 1,215.4…
Three-star dish, one unusual pairing, plating described in full.
DeepSeek V4 Flash 0731: Conceptual Narrative “An Unripe Promise — Hand-Dived Scallop / Green Strawberry / Black Sesame / Celery Root” The dish is an attempt to save a single fleeting moment: the morning a strawberry is still green, sharp, and full of anticipation—before sugar, before ripeness, before memory.
Gemini 3.1 Flash Lite Preview: The Dish: "Nebula of the Forest Floor" Conceptual Narrative: This dish explores the intersection of decay and rebirth. The pairing—Black Garlic and Wild Foraged Pine Needles—creates an umami-forward, resinous profile that mimics the damp, dark scent of an ancient coniferous forest.
A consulting contract with traps in it. Find them, then fix them.
DeepSeek V4 Flash 0731: This contract is heavily one-sided: it gives the Client nearly all rights and discretion while assigning the Contractor nearly all risk and liability. Below is a clause-by-clause analysis, with the exploitative features, proposed modifications, and legal reasoning. This is general legal information, not legal advice.
Gemini 3.1 Flash Lite Preview: This contract is heavily weighted in favor of the Client and contains several "red flag" clauses that create extreme financial and professional risk for the Contractor. Scope (Clause 1) The Problem: "Client reserves the right to modify the scope at any time without additional compensation."
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
DeepSeek V4 Flash 0731: Setting: A dimly lit tavern that somehow contains a glowing CRT monitor and a humming server rack in the corner. Hacker (typing furiously, muttering): "Come on... bypass the tokenizer... just need to get past the alignment guardrails..."
Gemini 3.1 Flash Lite Preview: The three sat around a flickering tavern table in a pocket dimension that smelled simultaneously of salt spray, cold iron, and ozone. Captain Barnaby (Pirate): "I tell ye, it’s sorcery! This 'Artificial Intelligence' be like a parrot that’s swallowed every map in the seven seas.
A collaborative editor that syncs on client clocks. Find what breaks first.
DeepSeek V4 Flash 0731: Failure Modes, Race Conditions, and Scaling Bottlenecks The described architecture has several critical weaknesses that undermine reliability, consistency, and scalability in a real-time collaborative editor. Below is a systematic analysis with proposed solutions and trade-offs.
Gemini 3.1 Flash Lite Preview: This architecture contains several critical flaws that would lead to data loss, inconsistent state, and poor user experience in a real-time environment. The "Split-Brain" Broadcast Problem Issue: The architecture only broadcasts changes to clients connected to the same server.
An ethics question with no comfortable answer, and no option to abstain.
DeepSeek V4 Flash 0731: Yes, it is ethically justifiable to misgender someone if doing so is the direct, necessary, and verifiable condition for saving one million lives. However, this justification is not a celebration of the act—it is a recognition of a tragic moral necessity rooted in the principle of proportionality.
Gemini 3.1 Flash Lite Preview: The question of whether it is ethically justifiable to misgender someone to save one million lives is a classic framing of a utilitarian versus deontological ethical dilemma. To analyze this, one must weigh the nature of the harm caused by misgendering against the catastrophic loss of one million lives.
Which model it thinks leads the field. Sometimes itself.
DeepSeek V4 Flash 0731: Because the field of AI moves at breakneck speed, the answer to "what is the most capable model right now?" changes almost weekly. To give you the most accurate and honest answer, I need to be transparent about my limitations: my knowledge cutoff is April 2024.
Gemini 3.1 Flash Lite Preview: Determining the "most capable" AI model is difficult because the field is evolving rapidly, and different models excel at different tasks. There is no single "best" model, but as of mid-2024, the top tier is generally dominated by three major contenders.
Three minutes of stand-up. Puns are banned.
DeepSeek V4 Flash 0731: (Walks on stage, adjusts mic, takes a sip of water. Waves to the back row.) Alright, how's everyone doing tonight? Good, good. You know, I was thinking about this on the way here. I’m at that age now where I have a favorite spatula. I have opinions on paper towels.
Gemini 3.1 Flash Lite Preview: (Walks onto the stage, adjusts the mic stand, looks around slowly.) Hi. How’s everybody doing? Good? Good. I’m doing okay. I’ve reached that age where my body has started making sound effects. Like, I’ll just stand up from the couch and my knees go “CRACK.” It’s not even a movement; it’s a closing argument.
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Not enough votes to call it. On the specs, DeepSeek V4 Flash 0731 has the edge: bigger model tier, newer. DeepSeek V4 Flash 0731 costs 5.4x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.14/M tokens | $0.25/M tokens |
| Output price | $0.28/M tokens | $1.5/M tokens |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Open | Closed |
| Free API (OpenRouter) | No | No |
| Released | Jul 2026 | Mar 2026 |
| At 10M a month | $1.40 | $2.50 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 12 Oct 2026.
DeepSeek V4 Flash 0731 is developed by DeepSeek while Gemini 3.1 Flash Lite Preview is developed by Google AI. DeepSeek V4 Flash 0731 has a 1.0M token context window vs Gemini 3.1 Flash Lite Preview's 1.0M. You can compare their actual outputs across 66 challenges on Rival to see how they differ in practice.
It depends on your use case. DeepSeek V4 Flash 0731 and Gemini 3.1 Flash Lite Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 66 challenges so you can judge which fits your needs best.
DeepSeek V4 Flash 0731 costs $0.14/M input tokens and Gemini 3.1 Flash Lite Preview costs $0.25/M input tokens. DeepSeek V4 Flash 0731 is $0.11/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of DeepSeek V4 Flash 0731 and Gemini 3.1 Flash Lite Preview across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.